Principal Applied Scientist- Foundation Models, Agents (Bengaluru)

Principal Applied Scientist- Foundation Models, Agents (Bengaluru)

16 Aug
|
Microsoft
|
Bengaluru

16 Aug

Microsoft

Bengaluru

Overview
About the Role
Microsoft Advertising is building the next generation of AI systems for understanding advertiser behavior, detecting anomalies and emerging threats.
We are looking for a Principal Applied Scientist with a strong foundation in mathematics, statistics, and core machine learning to advance:
Foundation models for behavioral, content, entity, and risk understanding.
Anomaly detection and threat modeling for current and evolving abuse patterns.
Decision uncertainty modeling across models, agents, workflows, and human review.
Tool-using agents that investigate cases, gather evidence, and support automated and human decisions.
Rigorous evaluation of models, agents, and end-to-end decision systems.
You will work with large-scale behavioral, multimodal, temporal, and relational data to build capabilities that generalize across products, markets, policies, and changing adversarial environments.
This is a hands-on scientific role with end-to-end ownership from problem formulation and model development through large-scale training, evaluation, productionization,



and measurable product impact

Responsibilities
Define and lead scientific initiatives in one or more areas eg foundation models, behavioral modeling, anomaly detection, threat modeling, agentic systems.
Develop scalable learning systems that understand entities, content, relationships, and behavior over time while identifying known, emerging, and previously unseen risks.
Develop methods to model and propagate uncertainty across individual models, model cascades, agent trajectories, retrieved evidence, automated decisions, and human judgments.
Use uncertainty, confidence, severity, and business impact to determine when to automate, gather additional evidence, invoke a more capable system, abstain, or escalate to expert review.
Translate threat models and adversarial insights into data strategies, learning objectives, model architectures, agent capabilities, and evaluation plans.
Advance the training,

📌 Principal Applied Scientist- Foundation Models, Agents (Bengaluru)
🏢 Microsoft
📍 Bengaluru

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